chenfeng-huang / Kaggle_Silver_Medal_Solutioun_CMI-DBSDLinks

This project uses wrist-worn sensor data—movement, temperature, and proximity—to distinguish body-focused repetitive behaviors (BFRBs) from everyday gestures. The goal is to build a model that improves BFRB-detection accuracy in wearable devices, supporting better mental health treatment.
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